1 citations · 2 across the 4 of their papers we have counts for
4 papers
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Cosmin Safta, Reese E. Jones, Ravi G. Patel +4
We propose a scalable, approximate inference hypernetwork framework for a general model of history-dependent processes. The flexible data model is based on a neural ordinary differ…
Methodological Reconstruction of Historical Landslide Tsunamis Using Bayesian Inference
Raelynn Wonnacott, Dallin Stewart, Jared P Whitehead +1
Indonesia is one of the world's most densely populated regions and lies among the epicenters of Earth's greatest natural hazards. Effectively reducing the disaster potential of the…
A tale of two faults: Statistical reconstruction of the 1820 Flores Sea earthquake using tsunami observations alone
T. Paskett, J. P. Whitehead, R. A. Harris +4
Using a Bayesian approach we compare anecdotal tsunami runup observations from the 29 December 1820 Flores Sea earthquake with close to 200,000 tsunami simulations to determine the…
The persistent homology of genealogical networks
Zachary M. Boyd, Nick Callor, Taylor Gledhill +4
Genealogical networks (i.e. family trees) are of growing interest, with the largest known data sets now including well over one billion individuals. Interest in family history also…